A lot of product development friction hides in plain sight. Someone has an idea, but before they can test it, they have to understand the tooling. They need to know where the work lives, how the deployment process works, what an error message means, who owns the system, and which
AI does not just add a new feature to software but it changes what software is, how it is built and how fast teams are expected to move. In his talk at UXDX, Des Traynor, Co-Founder of Fin, shared the story of how Intercom rebuilt itself around AI, became Fin,
AI can generate endless answers, but inspiration is not the same as connection. In her talk at UXDX, Larkin Brown, Sr. Director Product Research at Pinterest, showed how years of human-centred research are being woven into AI-powered product experiences. Her message was clear: the future of visual discovery will not
By Robin Cannon, VP of Product, Knapsack Ask an AI tool to build a screen today and watch what it reaches for. Inside tools like v0, Cursor, and Figma Make, a model will generate a working interface in seconds — and most of the time it builds from whatever components it
By Anamol Rajbhandari In 1997, a small piece of software called Auto-Tune arrived in recording studios, built to do something narrow and technical, which was to nudge a slightly flat or sharp vocal back onto the note it had been reaching for. For an individual singer, the effect was close